Undergraduate course

# Basic Course in Statistics

• ECTS credits10
• Teaching semesterSpring, Autumn
• Course codeSTAT110
• Number of semesters1
• LanguageNorwegian
• Resources

Autum and spring

## Objectives and Content

Objectives:

To give an introduction to probability theory and statistical methods, with emphasis on the former

Content:

The main emphasis in this course is on probability models. Discrete and continuous distributions, among others the binomial, the hypergeometric, the exponential, the Poisson and the normal distributions are treated. Joint probability distributions and correlation are also covered. Examples are given from many areas. The last part of the course deals with principles for estimating unknown quantities using maximum likelihood, with confidence intervals, and with hypothesis testing.

## Learning Outcomes

On completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The student

• Fundamental concepts in probability, such as expectation, variance and correlation.
• Discrete and continuously distributed random variables
• Law of large numbers and the central limit theorem
• Joint and conditional distributions
• Parameter estimation and confidence intervals
• Hypothesis tests and p-values

General competence

The student

• Has a practical understanding of the probability concept as it used broadly in society
• Perform and interpret statistical analyses

## Recommended Previous Knowledge

MAT101, MAT105 or MAT111 (can be taken together with STAT110).

## Credit Reduction due to Course Overlap

STAT101: 5 ECTS, ECON240: 4 ECTS

Excercises

## Forms of Assessment

Written examination early in semester, 5 hours.

Written examination late in semester: 4 hours

## Grading Scale

The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.

## Exam information

• For written exams, please note that the start time may change from 09:00 to 15:00 or vice versa until 14 days prior to the exam.

• ### Type of assessment: Written exam (New exam)

Date
23.02.2023, 09:00
Duration
5 hours
Withdrawal deadline
09.02.2023
Examination system
Inspera
Digital exam
Location
• ### Type of assessment: Written exam

Date
07.06.2023, 09:00
Duration
4 hours
Withdrawal deadline
24.05.2023
Examination system
Inspera
Digital exam
Location